Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down on April 23, and its replacement, statalist.org is already up and running.

# Re: st: xtnbreg and alternative methods

 From Muhammad Anees To statalist@hsphsun2.harvard.edu Subject Re: st: xtnbreg and alternative methods Date Thu, 13 Sep 2012 09:07:28 +0500

Hello,

Resending the same message is not a guarantee to ensure some response.
It is the way you ask the question to increase the chance of
responses. Read on this in the list's FAQ.

Anyway you can look at the different alternative Count Data models
implemented in a variety of Stata commands like:

-xtgee- with options for count data types.
-gnpoisson- for Generalized Poisson Regression

There is some useful commentary on such models in

Hilbe, J. 2011, Negative Binomial Regression, 2nd Edition, Cambridge
University Publications

I hope this helps somehow,

Best
Anees

On Wed, Sep 12, 2012 at 11:49 PM, Mário Marques <mmarques@eeg.uminho.pt> wrote:
> Dear All,
>
> I resend my message. I would appreciate any help. Thanks
> Mário
>
> 2012/9/10 Mário Marques <mmarques@eeg.uminho.pt>:
>> Dear Statalist-Users,
>>
>> I need help about xtnbreg, fe. I am using Stata 11. My dependent
>> variable is a count of new subsidiaries for different countries-pairs.
>> I have read (from Allison and Waterman, 2002) that xtnbreg, fe is not
>> a true fixed effects model. Dependent variable is overdispersed and
>> there are within individuals time-invariant covariates.
>>
>>
>> One of the solutions (I do not know if it is correct) is run
>> xtpoisson, fe and adjust standard errors upward for overdispersion
>> using person's chi squared or deviance. Do you think this procedure is
>> correct? If so, how could I get the Pearson's chi square/deviance
>> statistic?
>>
>> Do you know about other feasible alternative methods?
>>
>> Mario Marques
>> *
>> *   For searches and help try:
>> *   http://www.stata.com/help.cgi?search
>> *   http://www.stata.com/support/statalist/faq
>> *   http://www.ats.ucla.edu/stat/stata/
>
>
>
> --
> Mário Marques
> University of Minho
> School of Economics and Management
> Campus de Gualtar
> 4710-057 Braga
> Portugal
>
> Tel: +351 253 604100 (ext. 5589)
> Email: mmarques@eeg.uminho.pt
>
> *
> *   For searches and help try:
> *   http://www.stata.com/help.cgi?search
> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/

--

Best
---------------------------